scholarly journals Lithium-ion Battery SoC Estimation of an Order-reduced Electrochemical Model Using SMO-URL in EVs

2019 ◽  
Author(s):  
Aihua Tang
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Soc Estimation ◽  
Electrochemical Model

A Nonlinear Observer SOC Estimation Method Based on Electrochemical Model for Lithium-Ion Battery

2021 ◽  
Vol 57 (1) ◽  
pp. 1094-1104
Author(s):  
Yuntian Liu ◽  
Rui Ma ◽  
Shengzhao Pang ◽  
Liangcai Xu ◽  
Dongdong Zhao ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Estimation Method ◽  
Lithium Ion ◽  
Nonlinear Observer ◽  
Soc Estimation ◽  
Electrochemical Model

Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery

2021 ◽  
Vol 368 ◽  
pp. 137604
Author(s):  
Longxing Wu ◽  
Kai Liu ◽  
Hui Pang
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Reduced Order ◽  
Observability Analysis ◽  
Electrochemical Model

Analysis on SoC estimation of Lithium ion battery using EKF and LSTM

2021 ◽  
Author(s):  
Ponukupati Ravi Teja ◽  
R. Shanmughasundaram
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Soc Estimation

scholarly journals A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2120 ◽  
Author(s):  
Wei He ◽  
Michael Pecht ◽  
David Flynn ◽  
Fateme Dinmohammadi
Keyword(s):  
Lithium Ion Battery ◽  
Solid Phase ◽  
Chemical Properties ◽  
Lithium Ion ◽  
State Of Charge ◽  
Critical Parameters ◽  
Estimation Accuracy ◽  
Moving Window ◽  
Battery Management ◽  
Electrochemical Model

State-of-charge (SOC) is one of the most critical parameters in battery management systems (BMSs). SOC is defined as the percentage of the remaining charge inside a battery to the full charge, and thus ranges from 0% to 100%. This percentage value provides important information to manufacturers about the performance of the battery and can help end-users identify when the battery must be recharged. Inaccurate estimation of the battery SOC may cause over-charge or over-discharge events with significant implications for system safety and reliability. Therefore, it is crucial to develop methods for improving the estimation accuracy of battery SOC. This paper presents an electrochemical model for lithium-ion battery SOC estimation involving the battery’s internal physical and chemical properties such as lithium concentrations. To solve the computationally complex solid-phase diffusion partial differential equations (PDEs) in the model, an efficient method based on projection with optimized basis functions is presented. Then, a novel moving-window filtering (MWF) algorithm is developed to improve the convergence rate of the state filters. The results show that the developed electrochemical model generates 20 times fewer equations compared with finite difference-based methods without losing accuracy. In addition, the proposed projection-based solution method is three times more efficient than the conventional state filtering methods such as Kalman filter.

scholarly journals State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1820 ◽  
Author(s):  
Ruifeng Zhang ◽  
Bizhong Xia ◽  
Baohua Li ◽  
Libo Cao ◽  
Yongzhi Lai ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
Soc Estimation ◽  
Electrical Vehicles
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